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Surface electromyography (sEMG) is widely used in clinical diagnosis, rehabilitation engineering and humancomputer interaction and other fields. In this paper, we use Myo armband to collect sEMG signals. Myo armband can be worn above any elbow of any arm and it can capture the bioelectric signal generated when the arm muscles move. MYO can pass of signals through its low-power Blue-tooth, and its...
The traditional 3D human motion capture methods require operators to wear tracking sensors on their body. However, these devices would bring operators much inconvenience. Currently, vision based motion capture systems provide us an alternative approach for motion capture technology. In this paper, based on human kinematics and function approximation technique (FAT), a novel method is presented for...
The ground test/checkout for launch vehicle is a very important task during spaceflight mission, and new demands arise in the development of a new type of launch vehicle which adopts new control system. Considering the shortcomings of existing test equipments, a new method of integrated test for control system signals is studied, and the test software is developed. Aiming at the standardization and...
A neural-network-based adaptive approach is proposed for the leader-following control of multiagent systems. The neural network is used to approximate the agent's uncertain dynamics, and the approximation error and external disturbances are counteracted by employing the robust signal. When there is no control input constraint, it can be proved that all the following agents can track the leader's time-varying...
An adaptive control approach is proposed to deal with the multi-manipulator leader-follower control based on the multi-agent theory. In the current multi-agent literature, agents are assumed to have determined linear models. However, the real manipulatorpsilas dynamics is highly nonlinear and contains uncertain parameters. According to the ldquoinearity-in-parametersrdquo property, the adaptive updating...
An adaptive control approach is proposed to deal with the multiple manipulators consensus problem based on the multi-agent theory. In the current multi-agent literature, agents were assumed to have determined models. However, the practical manipulator's kinematics contains uncertain parameters. By using the projection method, the adaptive updating law for uncertain kinematic parameters is derived...
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